Download Ebook BookVector Generalized Linear and Additive Models With an Implementation in R (Springer Series in Statistics)

[Read.Z3vZ] Vector Generalized Linear and Additive Models With an Implementation in R (Springer Series in Statistics)

[Read.Z3vZ] Vector Generalized Linear and Additive Models With an Implementation in R (Springer Series in Statistics)

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This book presents a greatly enlarged statistical framework compared to generalized linear models (GLMs) with which to approach regression modelling. Comprising of about half-a-dozen major classes of statistical models, and fortified with necessary infrastructure to make the models more fully operable, the framework allows analyses based on many semi-traditional applied statistics models to be performed as a coherent whole.Since their advent in 1972, GLMs have unified important distributions under a single umbrella with enormous implications. However, GLMs are not flexible enough to cope with the demands of practical data analysis. And data-driven GLMs, in the form of generalized additive models (GAMs), are also largely confined to the exponential family. The methodology here and accompanying software (the extensive VGAM R package) are directed at these limitations and are described comprehensively for the first time in one volume. This book treats distributions and classical models as generalized regression models, and the result is a much broader application base for GLMs and GAMs.The book can be used in senior undergraduate or first-year postgraduate courses on GLMs or categorical data analysis and as a methodology resource for VGAM users. In the second part of the book, the R package VGAM allows readers to grasp immediately applications of the methodology. R code is integrated in the text, and datasets are used throughout. Potential applications include ecology, finance, biostatistics, and social sciences. The methodological contribution of this book stands alone and does not require use of the VGAM package. Vector Generalized Linear and Additive Models: With an ... Buy Vector Generalized Linear and Additive Models: With an Implementation in R (Springer Series in ... With an Implementation in R (Springer Series in Statistics) ... Vector generalized linear and additive extreme value models Vector generalized linear and additive ... and vector generalized additive models ... 2 Vector Generalized Linear and Additive Models Vector Generalized Linear and Additive Models - springer.com Springer Series in Statistics. ... Erratum: Vector Generalized Linear and Additive Models. Yee ... With an Implementation in R Authors. Vector generalized linear and additive models : with an ... Vector generalized linear and additive models : ... Series Title: Springer series in statistics. ... linear and additive models : with an implementation in R ... Vector Generalized Linear And Additive Models With An ... Vector Generalized Linear And Additive Models With An Implementation In R Springer Series In Statistics Vector ... Models With An Implementation In R Springer Series ... Vector Generalized Linear and Additive Models: With an ... Buy Vector Generalized Linear and Additive Models: With an Implementation in R ... With an Implementation in R (Springer Series in Statistics) ... Vector Generalized Linear and Additive Models - Springer Springer Series in Statistics. ... First comprehensive book on Vector Generalized Linear Models; ... Vector Generalized Linear and Additive Models. Yee ... Vector generalized linear and additive models : with an ... Vector generalized linear and additive models : with an implementation in R. ... Vector generalized linear and additive models : ... ; Springer series in ... Vector generalized linear model - Wikipedia Vector generalized linear model ... Part of a series on Statistics: Regression analysis; Models; ... Vector generalized additive models ... Vector Generalized Linear and Additive Models - Springer Springer Series in Statistics. 2015. Vector Generalized Linear and Additive Models With an Implementation in R. ... Vector Generalized Linear and Additive Models
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